Quantitative Analytics Manager, Affirm Bank Model Governance
Senior · Удалённо · США · Английский B2
Навыки
Коммуникация
Data Governance
KPI
Machine Learning
Pandas
Python
REST API
Ещё 4
Управление рисками
scikit-learn
SQL
Временные ряды
О компании и продукте
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.
We’re looking for an intelligent, driven professional to join our Bank Model Risk Management (MRM) team. This team seeks to establish, maintain and oversee an effective MRM framework to identify, quantify, monitor, mitigate and report on model risk. You will have an outstanding opportunity to work cross-functionally to develop a profound understanding of models that drive critical business decisions, and add value to the Bank by mitigating risks due to ineffective model design or model misuse.
Задачи
Full-Stack Model Validation: Conduct rigorous, independent validations of sophisticated credit/fraud models—including machine learning and traditional statistical models—focusing on conceptual soundness, data integrity, and performance stability
Advanced Quantitative Monitoring: Develop automated, independent monitoring suites in Python to track KRI/KPI drift, population stability (PSI), and feature importance shifts in real-time
Remediation & Technical Advisory: Partner with 1st-line Model Developers to drive the remediation of validation findings, ensuring models and strategies are not only compliant but mathematically robust
Audit & Regulatory Liaison: Partner with Internal Audit, Internal Controls, and Compliance to facilitate the timely resolution of audit and regulatory requests
Affirm Bank: Work for the internal Bank team to support the build out of the Bank Model Risk Management function
Support the model validation requirements for Bank owned models
Требования
7+ years of professional experience in a highly technical capacity, such as Credit/Fraud/Financial Risk Modeling, Model Validation, or Quantitative Analytics
Deep understanding of the consumer credit lifecycle and/or fraud detection
Technical familiarity with loss forecasting/fraud prediction, and stress-testing frameworks
Expert-level proficiency in Python (specifically pandas, scikit-learn, statsmodels) for replicative modeling and backtesting
Mastery of SQL for wrangling large-scale, distributed datasets and performing complex data lineage audits
A natural problem-solver with a meticulous eye for detail, a deep curiosity for how strategies perform, and sharp critical-thinking skills
Exceptional interpersonal and communication skills, with a proven ability to translate complex technical ideas for any audience
Base Pay Grade - O
Equity Grade - USA 12
Employees new to Affirm typically come in at the start of the pay range
Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills
Please note that visa sponsorship is not available for this position
Affirm is proud to be a remote-first company!
The majority of our roles are remote and you can work almost anywhere within the country of employment
Affirmers in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned Affirm office
A limited number of roles remain office-based due to the nature of their job responsibilities
We’re extremely proud to offer competitive benefits that are anchored to our core value of people come first
Some key highlights of our benefits package include
Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents
Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses
Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge
ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount
Условия
Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.)
USA base pay range (CA, WA, NY, NJ, CT): $220,000 - $280,000
USA base pay range (all other U.S. states): $195,000 - $255,000
Паспорт вакансии
История публикации
Появилась в Вакандии30 дней
Перепубликациинетпубликовалась один раз
Проверяли на источникеВидели 30 дней назад
Среди похожихНет данныху карточки не хватает полей, чтобы найти похожие
Откуда что взялось
Отмечено то, что вывели мы. Без пометки — значение назвал работодатель.
ГрейдSeniorвыведено из другого признака
Формат работыУдалённо
ГеографияСШАвычитано из текста вакансии
Зарплата220 000 — 280 000 USD в годвычитано из текста вакансии
Почему на этом месте в выдаче
Порядок выдачи объявлен контрактом: свежесть решает между днями, полнота и зарплата — внутри дня.
Полнота карточки1004 из 4 полей: грейд, формат, география, зарплата
Зарплата названа100вилку назвал источник
Проверка Вакандии
Источники и свежесть
Тип источника
Карьерный сайт работодателя
Найдено публикаций
1
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greenhouseОсновная публикация · 2026-07-29
A
Работодатель
Affirm
50 активных вакансий · вилка работодателя указана в 54%
Вакандия показывает вакансию, но не отправляет отклик и не проверяет работодателя. Сам отклик вы оставляете на внешнем сайте — job-boards.greenhouse.io.
Признаки мошенничества
Просят предоплату, «залог» или деньги за обучение и оборудование.
Требуют код из SMS, данные банковской карты или доступ к «Госуслугам».
Быстро уводят в мессенджер и торопят с решением.
Обещают большой доход без опыта и без деталей задач.
Настоящий работодатель не просит денег и платёжных данных до трудоустройства.
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